EECE.3630 Introduction to Probability and Random Processes (Formerly 16.363)
Id: 003186
Credits: 3-3
Description
Introduction to probability, random processes and basic statistical methods to address the random nature of signals and systems that engineers analyze, characterize and apply in their designs. It includes discrete and continuous random variables, their probability distributions and analytical and statistical methods for determining the mean, variance and higher order moments that characterize the random variable. Descriptive and inferential statistics, as well as time-varying random processes and their spectral analysis are introduced. The course provides the skills required to address modeling uncertainty in manufacturing and reliability analysis, noise characterization, and data analysis.
Prerequisites
Pre-Req: EECE.2020 Circuit Theory II.
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Course prerequisites/corequisites are determined by the faculty and approved by the curriculum committees. Students are required to fulfill these requirements prior to enrollment. For courses offered through online or GPS delivery, students are responsible for confirming with the instructor or department that all enrollment requirements have been satisfied before registering.